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A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders
BACKGROUND: The Illumina Infinium HumanMethylation450 BeadChip is an array-based technology for analysing DNA methylation at approximately 475,000 differentially methylated cytosines across the human genome. Hitherto, the array has been used for case-control studies, where sample numbers can be suff...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410592/ https://www.ncbi.nlm.nih.gov/pubmed/25918558 http://dx.doi.org/10.1186/s13148-015-0081-5 |
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author | Rezwan, Faisal I Docherty, Louise E Poole, Rebecca L Lockett, Gabrielle A Arshad, S Hasan Holloway, John W Temple, I Karen Mackay, Deborah JG |
author_facet | Rezwan, Faisal I Docherty, Louise E Poole, Rebecca L Lockett, Gabrielle A Arshad, S Hasan Holloway, John W Temple, I Karen Mackay, Deborah JG |
author_sort | Rezwan, Faisal I |
collection | PubMed |
description | BACKGROUND: The Illumina Infinium HumanMethylation450 BeadChip is an array-based technology for analysing DNA methylation at approximately 475,000 differentially methylated cytosines across the human genome. Hitherto, the array has been used for case-control studies, where sample numbers can be sufficient to yield statistically robust data on a genome-wide basis. We recently reported an informatic pipeline capable of yielding statistically and biologically significant results using only five cases, which expanded the use of this technology to rare disease studies. However, the clinical application of these technologies requires the ability to perform robust analysis of individual patients. RESULTS: Here we report a novel informatic approach for methylation array analysis of single samples, using the Crawford-Howell t-test. We tested our approach on patients with ultra-rare imprinting disorders with aberrant DNA methylation at multiple locations across the genome, which was previously detected by targeted testing. However, array analysis outperformed targeted assays in three ways: it detected loci not normally analysed by targeted testing, detected methylation changes too subtle to detect by the targeted testing and reported broad and consistent methylation changes across genetic loci not captured by point testing. CONCLUSIONS: This method has potential clinical utility for human disorders where DNA methylation change may be a biomarker of disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-015-0081-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4410592 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44105922015-04-28 A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders Rezwan, Faisal I Docherty, Louise E Poole, Rebecca L Lockett, Gabrielle A Arshad, S Hasan Holloway, John W Temple, I Karen Mackay, Deborah JG Clin Epigenetics Methodology BACKGROUND: The Illumina Infinium HumanMethylation450 BeadChip is an array-based technology for analysing DNA methylation at approximately 475,000 differentially methylated cytosines across the human genome. Hitherto, the array has been used for case-control studies, where sample numbers can be sufficient to yield statistically robust data on a genome-wide basis. We recently reported an informatic pipeline capable of yielding statistically and biologically significant results using only five cases, which expanded the use of this technology to rare disease studies. However, the clinical application of these technologies requires the ability to perform robust analysis of individual patients. RESULTS: Here we report a novel informatic approach for methylation array analysis of single samples, using the Crawford-Howell t-test. We tested our approach on patients with ultra-rare imprinting disorders with aberrant DNA methylation at multiple locations across the genome, which was previously detected by targeted testing. However, array analysis outperformed targeted assays in three ways: it detected loci not normally analysed by targeted testing, detected methylation changes too subtle to detect by the targeted testing and reported broad and consistent methylation changes across genetic loci not captured by point testing. CONCLUSIONS: This method has potential clinical utility for human disorders where DNA methylation change may be a biomarker of disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-015-0081-5) contains supplementary material, which is available to authorized users. BioMed Central 2015-04-21 /pmc/articles/PMC4410592/ /pubmed/25918558 http://dx.doi.org/10.1186/s13148-015-0081-5 Text en © Rezwan et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Rezwan, Faisal I Docherty, Louise E Poole, Rebecca L Lockett, Gabrielle A Arshad, S Hasan Holloway, John W Temple, I Karen Mackay, Deborah JG A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders |
title | A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders |
title_full | A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders |
title_fullStr | A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders |
title_full_unstemmed | A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders |
title_short | A statistical method for single sample analysis of HumanMethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders |
title_sort | statistical method for single sample analysis of humanmethylation450 array data: genome-wide methylation analysis of patients with imprinting disorders |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4410592/ https://www.ncbi.nlm.nih.gov/pubmed/25918558 http://dx.doi.org/10.1186/s13148-015-0081-5 |
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